Finance Data Analyst
Accounting & Finance, IT, Data Science
Argentina
About Role
A hybrid Finance and Data role sitting inside the Finance function. You will be the dedicated bridge between Finance and Data - unifying Sauce's financial data stack and enabling faster, more automated decision-making. You own the accuracy, consistency and accessibility of financial data so leadership can make decisions with confidence.What You'll Do:
Maintain and QA all financial data outputs from Preset and Databricks against source systems; flag discrepancies before they reach reporting
Own the G Suite financial infrastructure - Sheets, Drive, model structure and version control
Build and maintain recurring reports for revenue by channel and order type, delivery margin and order-level economics
Maintain and ensure consistency of financial and operational KPI calculations across all reporting systems
Maintain and develop fully loaded COGS tracking: courier fees, payment processing and infrastructure allocation
Track budget vs. actual performance across departments and highlight key variances
Assist in monthly forecasting, scenario analysis and business performance reviews
Prepare reconciled data and variance analysis for management reporting
Maintain actuals data to support rolling forecast updates and management reporting
Data accuracy and infrastructure
Core metric tracking
FP&A & Financial Analysis
What You Bring:
- Our stack: Databricks, Preset, SaasGrid, QuickBooks, Stripe, Google Workspace, AI (LLM)
3+ years in FP&A, Strategic Finance,Business Analytics or Finance Analyst in a technology company
Strong analytical and problem-solving skills with the ability to investigate data discrepancies across multiple systems and identify root causes
Expert in Google Sheets and/or Excel - financial modeling, multi-sheet models, dynamic formulas
SQL proficiency - required; Databricks or similar data warehouse experience preferred
Hands-on experience with a BI tool (Preset, Tableau, Looker, or equivalent)
Strong understanding of SaaS, marketplace, fintech, or high volume transaction-based business models and unit economics: revenue, COGS, CAC, LTV, margin
Strong English - written and spoken
Detail-oriented to the point of being uncomfortable with unreconciled numbers
- Nice to have:
- Python, GitHub
- Experience working with data pipelines, data models, or analytics infrastructure
- Prior experience in a marketplace, SaaS, fintech, or high-transaction-volume tech environment
What We Offer:
- Strong & Competitive Compensation Package
- Flexible Work Environment
- 10 Paid Personal/Vacation Days
- 5 Paid Sick Days
- 11 Local Holidays
- The Opportunity to Build Something that Changes the Delivery Tech Industry for the Better!